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Graphics and Human Computer Interfaces Commons™
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Full-Text Articles in Graphics and Human Computer Interfaces
Effect Of Deictic Gestures On Direction-Giving In Virtual Humans, Anthony Pham
Effect Of Deictic Gestures On Direction-Giving In Virtual Humans, Anthony Pham
Honors Theses
Virtual agents are animated characters that use speech and gesture to interact with human users. They can serve as an intuitive interface for a variety of purposes. I am investigating the use of deictic gestures by a direction-giving agent. Deictic gestures are pointing gestures that humans often use in direction-giving to help clarify the route and destination. In my experiment, I developed a virtual agent to give directions to people to six different locations with the following spatial relationships to the starting point: left, right, left behind, right behind, left up, and right up. Three versions of the virtual agent …
A Graph Based Departmental Spoken Dialogue System, Julia Isaac
A Graph Based Departmental Spoken Dialogue System, Julia Isaac
Honors Theses
Spoken dialogue systems are automatic, computer based systems that are a great way for people to receive important information. In this project, I created a spoken dialogue system that people can use to learn about the Computer Science Department at Union College. The system was built by populating an open source dialogue system using a graph based dialogue manager. I improved upon a previous working dialogue system by making the conversations sound more natural, improving the flexibility of the system and making the system more robust. To help with this process a corpus was created using about 200 different dialogues …
The Effects Of Early Confidence Interval Training On User Efficacy In A P300 Brain-Computer Interface Spelling Task, Adam Starkman
The Effects Of Early Confidence Interval Training On User Efficacy In A P300 Brain-Computer Interface Spelling Task, Adam Starkman
Honors Theses
Brain-computer interface (BCI) technology can provide communication for individuals suffering from degenerative neuromuscular disorders. The present study sought to demonstrate improved BCI performance in healthy individuals using confidence interval training with a P300 BCI spelling program. In this BCI interface, electroencephalographic (EEG) activity was recorded as participants attended to a specific target character within a matrix of flashing letters and numbers presented on a computer screen. The BCI uses the P300 Event Related Potential to select the intended character. In a prior patient case, use of a confidence measure that rejected questionable selections improved that user’s spelling efficiency. The present …